Data Scientist (contract)

Capgemini; Houston (TX); On-site; USD 73,233 - 114,437; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Retirement benefits

Job summary

A leading technology company is seeking a Data Scientist to develop models using Natural Language Processing and other machine learning techniques. The ideal candidate will create scalable solutions and collaborate with cross-functional teams to translate business challenges into robust AI applications. Responsibilities include developing ML workflows on AWS and ensuring the integrity of data for analyses. The position offers competitive hourly pay ranging from $53.16 to $83.07, alongside comprehensive benefits.

Qualifications

• Demonstrable knowledge of coding languages with ability to learn new skills.
• Experience in developing and deploying generative AI solutions.
• Familiarity with AWS services for machine learning workflows.

Responsibilities

• Develop ML models for prescriptive analytics.
• Convert ad hoc analyses into scalable solutions.
• Ensure data quality, security, and compliance.

Skills

Natural Language Processing

Python

SQL

R

Generative AI

AWS S3

AWS Lambda

AWS SageMaker

Prompt Engineering

Job description

Job Description

As a Data Scientist, you will work within the Analytics team to develop models using Natural Language Processing along with many other techniques.

Responsibilities and Qualifications

• Developing ML models that allow us to be prescriptive as opposed to reactive.
• Staying informed of next generation data and analytical tools.
• Converting ad hoc analyses into scalable solutions and tools that can be used on demand as self‑serve.
• Helping reveal actionable insights for individuals within various business functions.
• Cleaning, prepping and verifying the integrity of data for analyses.
• Demonstrable knowledge of common coding languages (Python, SQL, R) with ability to learn new skills and apply skills in new environments.
• Experience in Developing and Deploying GenAI Solutions: Building and fine‑tuning generative AI/LLM solutions using AWS Bedrock and available foundation models like Claude, Llama, and Titan.
• Building ML Workflows: Leveraging a wide range of AWS services (S3, Lambda, SageMaker, API Gateway, etc.) to build end‑to‑end machine learning workflows.
• Implementing RAG Architectures: Designing and building Retrieval Augmented Generation (RAG) pipelines and developing custom embeddings and vector search solutions.
• Prompt Engineering and Optimization: Creating effective prompt engineering strategies, evaluation frameworks, and model optimization techniques.
• Collaboration: Working with cross‑functional teams, including data engineers and software engineers, to integrate AI applications into existing systems and translate business problems into scalable AI solutions.
• Monitoring and Governance: Ensuring data quality, security, and compliance, and setting up monitoring and governance for production‑ready AI applications.

The pay range that the employer in good faith reasonably expects to pay for this position is $53.16/hour – $83.07/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non‑public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.